IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

AI in Crisis Management and Disaster Response for Urban Infrastructure

AI in Crisis Management and Disaster Response for Urban Infrastructure
View Sample PDF
Author(s): Nidhi Arora (Lovely Professional University, India), Ashok Sharma (University of Jammu, India)and Sachin Kaushal (Lovely Professional University, India)
Copyright: 2025
Pages: 12
Source title: Citizen-Centric Artificial Intelligence for Smart Cities
Source Author(s)/Editor(s): Ashok Sharma (University of Jammu, India), Vibhakar Mansotra (University of Jammu, India)and Parveen Singh (Cluster University, Jammu, India)
DOI: 10.4018/979-8-3693-7832-8.ch005

Purchase

View AI in Crisis Management and Disaster Response for Urban Infrastructure on the publisher's website for pricing and purchasing information.

Abstract

Artificial Intelligence (AI) is increasingly becoming a vital part of crisis management and disaster response, particularly in the context of urban infrastructure. Cities are increasingly vulnerable to both natural and man-made disasters as they grow larger and more interconnected. AI systems have the ability to anticipate, plan for, and handle emergencies more effectively, protecting metropolitan people in the process. The application of AI to the phases of preparedness, response, recovery, and mitigation of disasters is examined in this chapter, with a particular emphasis on how AI may strengthen the resilience of urban infrastructure. We highlight case studies, examine challenges in AI deployment, and propose future directions for AI-driven crisis management systems.

Related Content

Li Shun, Siti Norzaini Zainal Abidin, Myzatul Aishah Kamarazaly. © 2026. 36 pages.
TamilSalvi Mari, Ariventhar Ayahvoo, Sujatavani Gunasagaran. © 2026. 40 pages.
Khairool Aizat Ahmad Jamal, Shahrul Yani Said, Siti Norlizaiha Harun, Ahmad Fahmi Zainazlan, Noor Azeyah Khiyon. © 2026. 36 pages.
Changsaar Chai, Ming Gai, Haw Yang Ang, Chia Kuang Lee, Wan Siang Chong, Mervyn Hsin Jyi Wong. © 2026. 32 pages.
Nur Syaimasyaza Mansor, Hong Cing Cing. © 2026. 26 pages.
Erna Looi, Sujatavani Gunasagaran, TamilSalvi Mari. © 2026. 44 pages.
Yufeng Niu, Changsaar Chai, Yaoli Xiong. © 2026. 28 pages.
Body Bottom